{"id":9807,"date":"2026-08-10T10:11:33","date_gmt":"2026-08-10T10:11:33","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-science-methods-and-techniques-2025-2025-8\/"},"modified":"2026-08-10T10:11:33","modified_gmt":"2026-08-10T10:11:33","slug":"udemy-data-science-methods-and-techniques-2025-2025-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-science-methods-and-techniques-2025-2025-8\/","title":{"rendered":"Udemy \u2013 Data Science Methods and Techniques [2025] 2025-8"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<p>&nbsp;<\/p>\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span style=\"vertical-align: inherit\">Data Science Methods and Techniques [2025] course. This course is designed to teach a broad range of data science methods and techniques to provide a solid foundation for careers and studies related to data science. The exclusive content of this course provides new and valuable insights for beginners and experts in the fields of data science, data analytics, and machine learning engineering. This three-in-one video masterclass will take participants to a high level of proficiency in regression, prediction, classification, supervised learning, clustering analysis, and unsupervised learning.<\/span><\/p>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<p data-sourcepos=\"7:1-7:405\"><span style=\"vertical-align: inherit\">In the Regression and Supervised Learning section, participants will be introduced to the fundamental and advanced concepts of regression, regression analysis, and prediction. This course provides the most comprehensive regression training package at the master\u2019s level, covering practical theories, applications, and automated machine learning algorithms for model building, feature selection, and artificial intelligence. Topics range from linear regression models to advanced multivariate regression models. In the Classification and Supervised Learning section, the classification process, related theories, and visualization methods are explored. Applied classification models are also taught, including the powerful Ensemble Random Forest and Ensemble Voting Classifier models.<\/span><\/p>\n<h3 data-sourcepos=\"13:1-13:24\"><strong><span style=\"vertical-align: inherit\">What you will learn<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"15:1-23:0\">\n<li data-sourcepos=\"15:1-15:71\"><span style=\"vertical-align: inherit\">Knowledge of data science methods, techniques, theory, best practices, and tasks<\/span><\/li>\n<li data-sourcepos=\"16:1-16:74\"><span style=\"vertical-align: inherit\">Deep practical knowledge of data science and how to confidently manage common data science tasks<\/span><\/li>\n<li data-sourcepos=\"17:1-17:153\"><span style=\"vertical-align: inherit\">Comprehensive and in-depth master\u2019s level knowledge in the fields of regression, regression analysis, prediction, classification, supervised learning, clustering analysis, and unsupervised learning<\/span><\/li>\n<li data-sourcepos=\"18:1-18:114\"><span style=\"vertical-align: inherit\">Working knowledge of Scikit-learn, Statsmodels, Matplotlib, Seaborn, and some other Python libraries<\/span><\/li>\n<li data-sourcepos=\"19:1-19:69\"><span style=\"vertical-align: inherit\">Advanced knowledge of AI predictive models and automated model creation<\/span><\/li>\n<li data-sourcepos=\"20:1-20:124\"><span style=\"vertical-align: inherit\">Cloud Computing: Using Anaconda Cloud Notebook (Cloud-based Jupyter Notebook) and learning to use cloud computing resources<\/span><\/li>\n<li data-sourcepos=\"21:1-21:66\"><span style=\"vertical-align: inherit\">Option to use Anaconda Distribution (for Windows, Mac, Linux)<\/span><\/li>\n<li data-sourcepos=\"22:1-23:0\"><span style=\"vertical-align: inherit\">Option to use Python environment basics with the Conda package management system and install\/update libraries via the command line<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"24:1-24:30\"><strong><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"26:1-31:101\">\n<li data-sourcepos=\"26:1-26:69\"><span style=\"vertical-align: inherit\">Are interested in data science, regardless of whether they are a beginner or an expert.<\/span><\/li>\n<li data-sourcepos=\"27:1-27:86\"><span style=\"vertical-align: inherit\">They want to master the fields of regression, prediction, classification, and clustering analysis.<\/span><\/li>\n<li data-sourcepos=\"28:1-28:74\"><span style=\"vertical-align: inherit\">Are looking for a comprehensive and in-depth course on data science methods and techniques.<\/span><\/li>\n<li data-sourcepos=\"29:1-29:84\"><span style=\"vertical-align: inherit\">Want to gain practical skills in using Python libraries for data science.<\/span><\/li>\n<li data-sourcepos=\"30:1-30:68\"><span style=\"vertical-align: inherit\">They want to learn about AI predictive models and cloud computing.<\/span><\/li>\n<li data-sourcepos=\"31:1-31:101\"><span style=\"vertical-align: inherit\">Regardless of whether they have a PhD or no education or experience, they can benefit from this course.<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Data Science Methods and Techniques Course Specifications [2025]<\/span><\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/data-science-methods-and-techniques-2024\" target=\"_blank\" rel=\"noopener\">Udemy<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/henrik-johansson\">Henrik Johansson<\/a><\/li>\n<li>Language: English<\/li>\n<li>Level : All Levels<\/li>\n<li>Lectures : 31<\/li>\n<li>Duration : 21 hours and 41 minutes<\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course syllabus<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1005619\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/09\/Data-Science-Methods-and-Techniques-2025.c.jpeg\" alt=\"Data Science Methods and Techniques [2025]\" width=\"705\" height=\"302\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Prerequisites for the Data Science Methods and Techniques course [2025]<\/span><\/h3>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Basic knowledge of the Python programming language and preferably the Pandas library<\/span><\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">The four ways of counting (+-*\/)<\/span><\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended<\/span><\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Access to a computer with an internet connection<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1005620\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/09\/Data-Science-Methods-and-Techniques-2025.d.jpeg\" alt=\"Data Science Methods and Techniques [2025]\" width=\"705\" height=\"243\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Sample course video<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-161845-1\"><video class=\"wp-video-shortcode\" id=\"video-161845-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_Methods_and_Techniques_2025_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_Methods_and_Techniques_2025_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_Methods_and_Techniques_2025_Downloadly.ir.mp4?nocache=1786136124125\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_Methods_and_Techniques_2025_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<h3><span style=\"vertical-align: inherit\">Installation Guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitles: English<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<p>The 2025\/8 version has increased the number of lessons by 4 and the duration increased by 4 hours 39 minutes compared to 2024\/7.<\/p>\n<h3><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Data_Science_Methods_and_Techniques_2025_2025-8_Downloadly.ir.part1.rar?nocache=1786136121\">DownloadPart 1 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Data_Science_Methods_and_Techniques_2025_2025-8_Downloadly.ir.part2.rar?nocache=1786136121\">DownloadPart 2 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Data_Science_Methods_and_Techniques_2025_2025-8_Downloadly.ir.part3.rar?nocache=1786136121\">DownloadPart 3 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Data_Science_Methods_and_Techniques_2025_2025-8_Downloadly.ir.part4.rar?nocache=1786136121\">DownloadPart 4 \u2013 1.19 GB<\/a><\/p>\n<p><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p>7.19 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Description Data Science Methods and Techniques [2025] course. 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